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Manager Data Analytics Engineer Jobs in Lafayette, IN

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used ... Collaborates with Data Analytics Manager to incorporate Power BI and data governance across the ...

Education : BS/BA in Engineering, Data Analytics, Business Systems, or Statistics (R); MBA (P ... Manage analytics priorities and team performance * Create data governance framework with the entire ...

Bachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related field * Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or ...

... Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related fieldProficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems ...

Bachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related field * Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or ...

Reliability Engineer

Lafayette, IN · On-site

$98K - $124K/yr

Perform data analysis & support maintenance team to improve machine availability. * Lead ... Manage critical spares and obsolescence strategy. * Lead root cause investigations and implement ...

Knowledge of advanced problem-solving skills and ability to manage data analysis to identify root ... Master's degree in Engineering or equivalent * 10 years of manufacturing experience, powertrain ...

Knowledge of advanced problem-solving skills and ability to manage data analysis to identify root ... Master's degree in Engineering or equivalent * 10 years of manufacturing experience, powertrain ...

At Landis+Gyr , we don't just manage energy-we lead the transformation toward a smarter and more ... Analyze test data to ensure consistency with compliance standards. Design, develop, document ...

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Manager Data Analytics Engineer information

See Lafayette, IN salary details

$42.8K

$124.8K

$170.8K

How much do manager data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for manager data analytics engineer in Lafayette, IN is $124,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $132,300.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What job categories do people searching Manager Data Analytics Engineer jobs in Lafayette, IN look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Lafayette, IN are:

What cities near Lafayette, IN are hiring for Manager Data Analytics Engineer jobs?

Cities near Lafayette, IN with the most Manager Data Analytics Engineer job openings:

Data Analytics Engineer

Haynes International

Kokomo, IN • On-site

$101K - $121K/yr

Full-time

Posted 21 days ago


Haynes International rating

5.5

Company rating: 5.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

About the Opportunity:
The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines, analytics systems, and reporting solutions. The analytics engineer also models raw data into clean, tested, and reusable datasets to allow business stakeholders to view and understand data in a warehouse or database.
Qualifications (Required & Preferred):
Education: A bachelor's degree in computer science, data science, software engineering, or related field (R)
Experience: At least five years of experience in data analytics, data engineering, software engineering, or a similar role (R); Expertise in data modeling, ETL development, and data analysis (R)
Skills: Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Targit, Ignite, and Power BI; Familiarity with cloud-based data platforms such as Azure for data storage and processing; Substantial programming ability using languages/tools such as C++ & .NET for data manipulation and scripting; Solid understanding of relevant data governance, data quality, and data security best practices; Strong problem-solving skills, and the ability to think critically and analytically; Knowledge of ETL processes, data integration, and data warehousing concepts.; Familiarity with data visualization tools such as Targit & Power BI; Knowledge of upgrading data systems like Targit; Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders (all R).
Role Responsibilities:
  • Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis
  • Builds data aggregation pipelines using SQL, .NET, Targit, Power BI
  • Creates robust data models and architectures to support analytics initiatives
  • Collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and models
  • Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity
  • Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes
  • Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data
  • Creates and maintains dashboards, visualizations, and reports using tools such as Targit & Power BI to enable data-driven decision-making
  • Collaborates with Data Analytics Manager to incorporate Power BI and data governance across the organization
  • Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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